SOTAVerified

Aspect Category Detection

Aspect category detection (ACD) in sentiment analysis aims to identify the aspect categories mentioned in a sentence.

Papers

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Showing 1–10 of 31 papers

TitleStatusHype
GERestaurant: A German Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis—0
Label-Guided Prompt for Multi-label Few-shot Aspect Category Detection—0
KPC-cF: Aspect-Based Sentiment Analysis via Implicit-Feature Alignment with Corpus FilteringCode0
Supervised Gradual Machine Learning for Aspect Category Detection—0
FABSA: An aspect-based sentiment analysis dataset of user reviewsCode0
A Self-enhancement Multitask Framework for Unsupervised Aspect Category Detection—0
Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation—0
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple PredictionCode1
From Stars to Insights: Exploration and Implementation of Unified Sentiment Analysis with Distant SupervisionCode0
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category DetectionCode1
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All datasetsAWARECitysearchSemEval-2014 Task-4SemEval 2014 Task 4 Subtask 3

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CAtF-measure (%)86.4—Unverified